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Schedule Interview NowMy name is Gentrit H. and I have over 4 years of experience in the tech industry. I specialize in the following technologies: Python, Artificial Intelligence, System Automation, AI Development, Automation, etc.. I hold a degree in Bachelor of Computer Science (BCompSc). Some of the notable projects I've worked on include: AI-Powered CSV Data Analysis & Automation (Streamlit-Python + OpenAI), AI-Powered Email Inbox Manager (n8n + LangChain + Gmail), Native RAG CLI Pipeline Built from Scratch, AI-Powered Website Profile Scraper on n8n, ML-Powered YouTube Comment Analysis API, etc.. I am based in Skenderaj, Albania. I've successfully completed 12 projects while developing at Softaims.
I am a business-driven professional; my technical decisions are consistently guided by the principle of maximizing business value and achieving measurable ROI for the client. I view technical expertise as a tool for creating competitive advantages and solving commercial problems, not just as a technical exercise.
I actively participate in defining key performance indicators (KPIs) and ensuring that the features I build directly contribute to improving those metrics. My commitment to Softaims is to deliver solutions that are not only technically excellent but also strategically impactful.
I maintain a strong focus on the end-goal: delivering a product that solves a genuine market need. I am committed to a development cycle that is fast, focused, and aligned with the ultimate success of the client's business.
Main technologies
4 years
1 Year
1 Year
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Potentially possible
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A lightweight Streamlit application that uses OpenAI to interpret and summarize CSV files. Upload any dataset and receive instant AI-generated insights, column explanations, and trend summaries — no m
Tech stack: n8n, OpenAI (LangChain-style agent), Gmail API What it does: - Pulls all emails from last 24h - Classifies them with an AI agent (to respond / to read / low priority / ignore) - Drafts re
This is a native RAG pipeline in Python—no external frameworks—handling document ingestion, chunking, vector storage with LanceDB, AI-powered Q&A via OpenAI, and batch performance evaluation, all cont
Automates company website data collection and analysis: • Fetch companies: load names & URLs from a sheet or API • Prepare & map: clean and standardize fields • AI Crawler Agent: visit sites, follow
This project is a machine learning application designed to perform sentiment analysis on YouTube comments It identifies whether comments are positive or negative, providing insights into public percep
Bachelor of Computer Science (BCompSc) in Computer science
2018-01-01-2021-01-01